Deep Learning with R by Chollet, Francois
Deep Learning with R by Chollet, Francois

Deep Learning with R

Summary Deep Learning with R introduces the world of deep learning using the powerful Keras library and...
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SKU: 9781617295546
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Author: Francois Chollet
Format: Paperback
Language: English
Subtotal: $107.83
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Deep Learning with R by Chollet, Francois

Deep Learning with R

$107.83
Deep Learning with R by Chollet, Francois

Deep Learning with R

$107.83
Author: Francois Chollet
Format: Paperback
Language: English
Description
Summary

Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples.

Continue your journey into the world of deep learning with Deep Learning with R in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/deep-​learning-with-r-in-motion).

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Machine learning has made remarkable progress in recent years. Deep-learning systems now enable previously impossible smart applications, revolutionizing image recognition and natural-language processing, and identifying complex patterns in data. The Keras deep-learning library provides data scientists and developers working in R a state-of-the-art toolset for tackling deep-learning tasks.

About the Book

Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. Initially written for Python as Deep Learning with Python by Keras creator and Google AI researcher François Chollet and adapted for R by RStudio founder J. J. Allaire, this book builds your understanding of deep learning through intuitive explanations and practical examples. You'll practice your new skills with R-based applications in computer vision, natural-language processing, and generative models.

What's Inside

  • Deep learning from first principles
  • Setting up your own deep-learning environment
  • Image classification and generation
  • Deep learning for text and sequences

About the Reader

You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is assumed.

About the Authors

François Chollet is a deep-learning researcher at Google and the author of the Keras library.

J.J. Allaire is the founder of RStudio and the author of the R interfaces to TensorFlow and Keras.

Table of Contents

    PART 1 - FUNDAMENTALS OF DEEP LEARNING
  1. What is deep learning?
  2. Before we begin: the mathematical building blocks of neural networks
  3. Getting started with neural networks
  4. Fundamentals of machine learning
    5. PART 2 - DEEP LEARNING IN PRACTICE
  5. Deep learning for computer vision
  6. Deep learning for text and sequences
  7. Advanced deep-learning best practices
  8. Generative deep learning
  9. Conclusions


Author: Francois Chollet
Publisher: Manning Publications
Published: 02/09/2018
Pages: 360
Binding Type: Paperback
Weight: 1.40lbs
Size: 9.25h x 7.38w x 0.75d
ISBN: 9781617295546

About the Author
François Chollet is a software engineer at Google and creator of Keras.

J.J. Allaire is the Founder of RStudio and the creator of the RStudio IDE. J.J. is the author of the R interfaces to TensorFlow and Keras.
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